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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20231004T173106Z
UID:FD79B16F-B1A3-487A-B7E0-ECC04850120B
DTSTART;TZID=Etc/UTC:20231019T120000
DTEND;TZID=Etc/UTC:20231019T130000
DESCRIPTION:Wi-Fi (IEEE 802.11) networks equipped with Artificial Intellige
 nce & Machine Learning (AIML) may redefine the next generation of wireless
  unlicensed communications systems. On one hand\, next-generation Wi-Fi ne
 tworks are required to address critical design limitations to meet the req
 uirements of future Internet-based applications like eXtended Reality (XR)
  or multisense communications. AIML has largely shown outstanding results 
 in countless applications (e.g.\, image recognition\, chatbots)\, thus bec
 oming a cornerstone technology in many areas. Now\, the use of AIML as a k
 ey technology for driving the evolution of Wi-Fi is under study. The benef
 its that AIML can bring to Wi-Fi go from providing the desired reliability
  and extremely high performance to addressing the technical innovations in
  new standards. In this talk\, we begin with an overview of the state of t
 he art on how researchers have foreseen the integration of ML and Wi-Fi th
 rough relevant use cases. We also describe ongoing standardization activit
 ies in IEEE 802.11. Finally\, we outline future research areas.\n\nCo-spon
 sored by: IEEE Future Networks\n\nSpeaker(s): Prof. Boris Bellalta\, U. Po
 mpeu Fabra (UPF)\, Prof. Katarzyna Kosek-Szott\, UPF\, Prof. Szymon Szott\
 , UPF\, Dr. Francesc Wilhelmi\, Nokia Bell Labs\n\nVirtual: https://events
 .vtools.ieee.org/m/376985
LOCATION:Virtual: https://events.vtools.ieee.org/m/376985
ORGANIZER:c.polk@comsoc.org
SEQUENCE:28
SUMMARY:Webinar: Improving Wi-Fi with Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/376985
X-ALT-DESC:Description: <br /><p>Wi-Fi (IEEE 802.11) networks equipped with
  Artificial Intelligence &amp\; Machine Learning (AIML) may redefine the n
 ext generation of wireless unlicensed communications systems. On one hand\
 , next-generation Wi-Fi networks are required to address critical design l
 imitations to meet the requirements of future Internet-based applications 
 like eXtended Reality (XR) or multisense communications. AIML has largely 
 shown outstanding results in countless applications (e.g.\, image recognit
 ion\, chatbots)\, thus becoming a cornerstone technology in many areas. No
 w\, the use of AIML as a key technology for driving the evolution of Wi-Fi
  is under study. The benefits that AIML can bring to Wi-Fi go from providi
 ng the desired reliability and extremely high performance to addressing th
 e technical innovations in new standards. In this talk\, we begin with an 
 overview of the state of the art on how researchers have foreseen the inte
 gration of ML and Wi-Fi through relevant use cases. We also describe ongoi
 ng standardization activities in IEEE 802.11. Finally\, we outline future 
 research areas.</p>
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